Recent advances in biomedical literature mining
The recent years have witnessed a rapid increase in the number of scientific articles in
biomedical domain. These literature are mostly available and readily accessible in …
biomedical domain. These literature are mostly available and readily accessible in …
Detection of drug–drug interactions through data mining studies using clinical sources, scientific literature and social media
S Vilar, C Friedman, G Hripcsak - Briefings in bioinformatics, 2018 - academic.oup.com
Drug–drug interactions (DDIs) constitute an important concern in drug development and
postmarketing pharmacovigilance. They are considered the cause of many adverse drug …
postmarketing pharmacovigilance. They are considered the cause of many adverse drug …
[PDF][PDF] Semeval-2013 task 9: Extraction of drug-drug interactions from biomedical texts (ddiextraction 2013)
I Segura-Bedmar, P Martínez… - … Joint Conference on …, 2013 - aclanthology.org
The DDIExtraction 2013 task concerns the recognition of drugs and extraction of drugdrug
interactions that appear in biomedical literature. We propose two subtasks for the …
interactions that appear in biomedical literature. We propose two subtasks for the …
Extraction of relations between genes and diseases from text and large-scale data analysis: implications for translational research
Background Current biomedical research needs to leverage and exploit the large amount of
information reported in scientific publications. Automated text mining approaches, in …
information reported in scientific publications. Automated text mining approaches, in …
Statsnowball: a statistical approach to extracting entity relationships
Traditional relation extraction methods require pre-specified relations and relation-specific
human-tagged examples. Bootstrapping systems significantly reduce the number of training …
human-tagged examples. Bootstrapping systems significantly reduce the number of training …
All-paths graph kernel for protein-protein interaction extraction with evaluation of cross-corpus learning
Background Automated extraction of protein-protein interactions (PPI) is an important and
widely studied task in biomedical text mining. We propose a graph kernel based approach …
widely studied task in biomedical text mining. We propose a graph kernel based approach …
[HTML][HTML] Extracting drug–drug interactions from literature using a rich feature-based linear kernel approach
Identifying unknown drug interactions is of great benefit in the early detection of adverse
drug reactions. Despite existence of several resources for drug–drug interaction (DDI) …
drug reactions. Despite existence of several resources for drug–drug interaction (DDI) …
A global network of biomedical relationships derived from text
Motivation The biomedical community's collective understanding of how chemicals, genes
and phenotypes interact is distributed across the text of over 24 million research articles …
and phenotypes interact is distributed across the text of over 24 million research articles …
Effective and efficient semantic table interpretation using tableminer+
Z Zhang - Semantic Web, 2017 - content.iospress.com
This article introduces TableMiner+, a Semantic Table Interpretation method that annotates
Web tables in a both effective and efficient way. Built on our previous work TableMiner, the …
Web tables in a both effective and efficient way. Built on our previous work TableMiner, the …
[HTML][HTML] A neural network-based joint learning approach for biomedical entity and relation extraction from biomedical literature
Recently joint modeling methods of entity and relation exhibit more promising results than
traditional pipelined methods in general domain. However, they are inappropriate for the …
traditional pipelined methods in general domain. However, they are inappropriate for the …